The problem of recovering independent components
in a generative process relates to the independent component analysis (ICA). Given a multivariate signal, ICA aims to separate it into additive elements generated by independent non-Gaussian sources [1]}. While in the nonlinear case, observing i.i.d. samples, ICA was proven to be unidentifiable [2]}, recent approaches [3]}, [4]} have built on the assumption of having some degree of supervision to couple ICA and disentanglement.
